Abstract:Robotic surgery bedside assistants play an important role in robotic procedures by performing intra-corporeal tasks while accommodating the physical presence of the robot. We hypothesized that an augmented reality headset enabling 3D intracorporeal vision while facing the surgical field could decrease time and improve accuracy of robotic bedside tasks. Bedside assistants (one physician assistant, one medical student, three surgical trainees, and two attending surgeons) performed validated tasks within a mock a… Show more
“…General applications ( ), general surgery ( ), neurosurgery ( ), robot-assisted surgery ( ), and vascular surgery ( ) were the next most prevalent. Robot-assisted surgery applications included orthopedic applications [ 55 ], general bedside tasks [ 56 ], and endoluminal interventions [ 57 ]. Papers focused on general surgery and associated applications included telementoring [ 58 ], teleproctoring [ 59 ], surgical navigation [ 60 ], and liver resection [ 61 ].…”
Section: Resultsmentioning
confidence: 99%
“…Telestrations, such as virtual arrows and other virtual annotations were common in telementoring and teleproctoring [ 58 , 59 , 60 ]. Intraoperative endoscope video is the primary real-time data source for laparoscopic and endoscopic procedures and robot-assisted surgery [ 56 , 82 ]. Cone-beam CT employs a similar imaging strategy as CT and improves on some limitations of X-ray fluoroscopy, mainly the 2D nature of the data, by providing the capacity for a 3D snapshot of the intraoperative patient anatomy [ 84 , 85 ].…”
Section: Resultsmentioning
confidence: 99%
“…Other 3D information that was included alongside the surface rendered models included relevant preoperative planning information, such as locations of pedicle screws [ 47 ], target anatomical contours in maxillofacial surgery [ 54 , 90 ], and tissue deformation models in liver resection surgery [ 61 ]. Several papers mentioned the streaming of raw 3D data directly to the OST-HMD for visualization, including intraoperative stereo endoscope video for robotic bedside task support [ 56 ], flexible endoscope steering [ 91 ], and endoluminal interventions [ 57 ]. Unlike 3D surface models, volume-rendered 3D models do not require manual segmentation and preprocessing to create and instead rely on discrete sampling of a 3D dataset.…”
Section: Resultsmentioning
confidence: 99%
“…The remaining articles ( ) involving adjacent overlay of virtual content centered on tasks which would typically rely on a computer monitor for data display and aimed to improve access to the relevant data. Use-cases involving adjacent overlay included the display of stereo endoscope video for robotic bedside assistants [ 56 ] and fluoroscopic imaging data [ 81 ] in the field of view of the user but adjacent to the patient.…”
Section: Resultsmentioning
confidence: 99%
“…With OST-HMD use, it is possible to position virtually augmented content in a comfortable location based on user preference. Despite the additional weight and bulk of wearing an HMD throughout a procedure, ergonomic benefits were reported in OST-HMD use for data display during robotic surgery bedside assistant tasks [ 56 ] and in live fluoroscopic imaging display during orthopedic interventions [ 81 ]. However, the contribution of OST-HMD use to ergonomics was not all positive; challenges with optical display quality and latency can contribute to nausea and eye strain [ 110 ].…”
We conducted a systematic review of recent literature to understand the current challenges in the use of optical see-through head-mounted displays (OST-HMDs) for augmented reality (AR) assisted surgery. Using Google Scholar, 57 relevant articles from 1 January 2021 through 18 March 2022 were identified. Selected articles were then categorized based on a taxonomy that described the required components of an effective AR-based navigation system: data, processing, overlay, view, and validation. Our findings indicated a focus on orthopedic (n=20) and maxillofacial surgeries (n=8). For preoperative input data, computed tomography (CT) (n=34), and surface rendered models (n=39) were most commonly used to represent image information. Virtual content was commonly directly superimposed with the target site (n=47); this was achieved by surface tracking of fiducials (n=30), external tracking (n=16), or manual placement (n=11). Microsoft HoloLens devices (n=24 in 2021, n=7 in 2022) were the most frequently used OST-HMDs; gestures and/or voice (n=32) served as the preferred interaction paradigm. Though promising system accuracy in the order of 2–5 mm has been demonstrated in phantom models, several human factors and technical challenges—perception, ease of use, context, interaction, and occlusion—remain to be addressed prior to widespread adoption of OST-HMD led surgical navigation.
“…General applications ( ), general surgery ( ), neurosurgery ( ), robot-assisted surgery ( ), and vascular surgery ( ) were the next most prevalent. Robot-assisted surgery applications included orthopedic applications [ 55 ], general bedside tasks [ 56 ], and endoluminal interventions [ 57 ]. Papers focused on general surgery and associated applications included telementoring [ 58 ], teleproctoring [ 59 ], surgical navigation [ 60 ], and liver resection [ 61 ].…”
Section: Resultsmentioning
confidence: 99%
“…Telestrations, such as virtual arrows and other virtual annotations were common in telementoring and teleproctoring [ 58 , 59 , 60 ]. Intraoperative endoscope video is the primary real-time data source for laparoscopic and endoscopic procedures and robot-assisted surgery [ 56 , 82 ]. Cone-beam CT employs a similar imaging strategy as CT and improves on some limitations of X-ray fluoroscopy, mainly the 2D nature of the data, by providing the capacity for a 3D snapshot of the intraoperative patient anatomy [ 84 , 85 ].…”
Section: Resultsmentioning
confidence: 99%
“…Other 3D information that was included alongside the surface rendered models included relevant preoperative planning information, such as locations of pedicle screws [ 47 ], target anatomical contours in maxillofacial surgery [ 54 , 90 ], and tissue deformation models in liver resection surgery [ 61 ]. Several papers mentioned the streaming of raw 3D data directly to the OST-HMD for visualization, including intraoperative stereo endoscope video for robotic bedside task support [ 56 ], flexible endoscope steering [ 91 ], and endoluminal interventions [ 57 ]. Unlike 3D surface models, volume-rendered 3D models do not require manual segmentation and preprocessing to create and instead rely on discrete sampling of a 3D dataset.…”
Section: Resultsmentioning
confidence: 99%
“…The remaining articles ( ) involving adjacent overlay of virtual content centered on tasks which would typically rely on a computer monitor for data display and aimed to improve access to the relevant data. Use-cases involving adjacent overlay included the display of stereo endoscope video for robotic bedside assistants [ 56 ] and fluoroscopic imaging data [ 81 ] in the field of view of the user but adjacent to the patient.…”
Section: Resultsmentioning
confidence: 99%
“…With OST-HMD use, it is possible to position virtually augmented content in a comfortable location based on user preference. Despite the additional weight and bulk of wearing an HMD throughout a procedure, ergonomic benefits were reported in OST-HMD use for data display during robotic surgery bedside assistant tasks [ 56 ] and in live fluoroscopic imaging display during orthopedic interventions [ 81 ]. However, the contribution of OST-HMD use to ergonomics was not all positive; challenges with optical display quality and latency can contribute to nausea and eye strain [ 110 ].…”
We conducted a systematic review of recent literature to understand the current challenges in the use of optical see-through head-mounted displays (OST-HMDs) for augmented reality (AR) assisted surgery. Using Google Scholar, 57 relevant articles from 1 January 2021 through 18 March 2022 were identified. Selected articles were then categorized based on a taxonomy that described the required components of an effective AR-based navigation system: data, processing, overlay, view, and validation. Our findings indicated a focus on orthopedic (n=20) and maxillofacial surgeries (n=8). For preoperative input data, computed tomography (CT) (n=34), and surface rendered models (n=39) were most commonly used to represent image information. Virtual content was commonly directly superimposed with the target site (n=47); this was achieved by surface tracking of fiducials (n=30), external tracking (n=16), or manual placement (n=11). Microsoft HoloLens devices (n=24 in 2021, n=7 in 2022) were the most frequently used OST-HMDs; gestures and/or voice (n=32) served as the preferred interaction paradigm. Though promising system accuracy in the order of 2–5 mm has been demonstrated in phantom models, several human factors and technical challenges—perception, ease of use, context, interaction, and occlusion—remain to be addressed prior to widespread adoption of OST-HMD led surgical navigation.
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